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DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention

Summary: Dependency attention: graph-aware attention that prunes token-pair interactions to structural dependencies and reuses computations along relational paths to reduce inference cost. DepCache: KV-cache reuse aligned across graph-augmented prompts with a locality-aware replacement policy, yielding 1.5–5× throughput and up to 3.2× time-to-first-token reduction without accuracy loss. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7374
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,066 | 29.98%
DOI
10.1145/3769778

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Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,025 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6906935e-05
3,131 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 7.4985793e-05
3,565 Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation 2025 SIGMOD 6.9655362e-05
5,737 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3480667e-05
6,357 PQCache: Product Quantization-based KVCache for Long Context LLM Inference 2025 SIGMOD 5.0970739e-05
7,091 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8370645e-05
7,481 Buffered Persistence in B+ Trees 2024 SIGMOD 4.7180617e-05
9,395 NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism 2025 VLDB 4.3441378e-05
13,104 NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective 2025 SIGMOD -
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